47% increase in sales conversion
Attracting new clients to the post-paid mobile product in the most efficient way by focusing on prospects with the longest lifetime value.
As part of our business analytics solution, we created a personalized predictive algorithm based on socioeconomic, demographic and behavioral data.
We defined 30 groups based on their propensity to purchase and lifetime value that we updated every two weeks based on records sent by the client.
We combined human agents with robotics, using robots to initiate contacts with groups with low and medium propensity to purchase, focusing operators on groups with the highest propensity to purchase and successful contacts initiated by virtual agents.
We increased sales productivity by 47% and identified important insights about the socioeconomic, demographic and behavioral profiles of the contacted prospects, which also resulted in the creation of more successful offerings from the client.